Active fall prevention: robotic vision in AAL

03/16/2021
by   Dawid Gruszczyński, et al.
0

Effective methods of preventing falls significantly improve the quality of life of the Elderly. Nowadays, people focus mainly on the proper provision of the apartment with handrails and fall detection systems once they have occurred. The article presents a system of active detection and classification of the risk of falls in the home space using a service robot equipped with a vision sensor. Hazard classification allows for effective performance of tasks assigned to the robot while maintaining a high level of user safety.

READ FULL TEXT

page 4

page 5

page 6

research
07/22/2022

Vision-based Human Fall Detection Systems using Deep Learning: A Review

Human fall is one of the very critical health issues, especially for eld...
research
08/15/2022

Elderly Fall Detection Using CCTV Cameras under Partial Occlusion of the Subjects Body

One of the possible dangers that older people face in their daily lives ...
research
02/29/2020

Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance

Many researchers have identified robotics as a potential solution to the...
research
08/23/2022

Fall Detection from Audios with Audio Transformers

Fall detection for the elderly is a well-researched problem with several...
research
06/11/2020

Fall Detector Adapted to Nursing Home Needs through an Optical-Flow based CNN

Fall detection in specialized homes for the elderly is challenging. Visi...
research
06/25/2017

Detekcja upadku i wybranych akcji na sekwencjach obrazów cyfrowych

In recent years a growing interest on action recognition is observed, in...
research
06/08/2020

Synchronous Robotic Framework

We present a synchronous robotic testbed called SyROF that allows fast i...

Please sign up or login with your details

Forgot password? Click here to reset